Results 21 to 30 of about 112,477 (217)

Detection of desert sand dunes in the Rig Jen area using the normalized Difference excess sand index (NDESI) in Sentinel 2 images and Landsat 8 OLI sensor [PDF]

مطالعات جغرافیایی مناطق خشک
Aim: The purpose of this research is to identify the area of sand dunes and their changes in desert areas using spectral indicators in Landsat 8 and Sentinel 2 satellites.
mehdi feyzolahpour
doaj   +1 more source

High-resolution mapping of protected agriculture in Mexico, through remote sensing data cloud geoprocessing

European Journal of Remote Sensing, 2019
In recent years, plasticulture, which is broadly defined as the use of plastics in agriculture, including greenhouse, tunnels and plastic mulch has become a fast-growing production system.
Gabriel Alejandro Perilla, Jean-François Mas   +1 more
doaj   +1 more source

Quality monitoring of inland water bodies using Google Earth Engine

Journal of Hydroinformatics, 2023
Regular quality monitoring of inland water bodies is vital for identifying the areas with deteriorating water quality. Satellite remote sensing has been used for obtaining long-term trends that require the processing of many images.
P. Y. Sherjah, N. Sajikumar, P. T. Nowshaja   +2 more
doaj   +1 more source

Relación de firmas espectrales para la identificación de bosque seco en imágenes de satélite Sentinel 2, cuenca baja del río Chira, Región Piura

Revista de Teledetección, 2020
El Fenómeno del Niño, las sequías y el clima cálido influyen de manera directa en el buen estado ecológico de los bosques en la Región Piura. El objetivo es relacionar las firmas espectrales evaluadas en las imágenes de satélite Sentinel-2 con las firmas
C. Aldana, M. Revilla, J. Gonzales, Y. Saavedra, W. Moncada, J. Maicelo   +5 more
doaj   +1 more source

Multi-Year Cereal Crop Classification Model in a Semi-Arid Region Using Sentinel-2 and Landsat 7–8 Data

Agriculture, 2023
This study developed a multi-year classification model for winter cereal in a semi-arid region, the Kairouan area (Tunisia). A random forest classification model was constructed using Sentinel 2 (S2) vegetation indices for a reference agricultural season,
Manel Khlif, Maria José Escorihuela, Aicha Chahbi Bellakanji, Giovanni Paolini, Zeineb Kassouk, Zohra Lili Chabaane   +5 more
doaj   +1 more source

Harmonization of Landsat and Sentinel 2 for Crop Monitoring in Drought Prone Areas: Case Studies of Ninh Thuan (Vietnam) and Bekaa (Lebanon)

Remote Sensing, 2020
Proper satellite-based crop monitoring applications at the farm-level often require near-daily imagery at medium to high spatial resolution. The combination of data from different ongoing satellite missions Sentinel 2 (ESA) and Landsat 7/8 (NASA ...
Minh D. Nguyen, Oscar M. Baez-Villanueva, Duong D. Bui, Phong T. Nguyen, Lars Ribbe   +4 more
doaj   +1 more source

Evapotranspiration Partitioning in Selected Subtropical Fruit Tree Orchards Based on Sentinel 2 Data Using a Light Gradient-Boosting Machine (LightGBM) Learning Model in Malelane, South Africa

Hydrology
The accurate estimation of evapotranspiration (ET) and its components are vital for water resource management and irrigation planning. This study models tree transpiration (T) and ET for grapefruit, litchi, and mango orchards using light gradient ...
Prince Dangare, Zama E. Mashimbye, Paul J. R. Cronje, Joseph N. Masanganise, Shaeden Gokool, Zanele Ntshidi, Vivek Naiken, Tendai Sawunyama, Sebinasi Dzikiti   +8 more
doaj   +1 more source

Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping

Applied Sciences, 2021
Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field.
Shilan Felegari, Alireza Sharifi, Kamran Moravej, Muhammad Amin, Ahmad Golchin, Anselme Muzirafuti, Aqil Tariq, Na Zhao   +7 more
doaj   +1 more source

Towards a continuous inland excess water flood monitoring system based on remote sensing data

Journal of Environmental Geography, 2017
Inland excess water (IEW) is a type of flood where large flat inland areas are covered with water during a period of several weeks to months. The monitoring of these floods is needed to understand the extent and direction of development of the ...
van Leeuwen Boudewijn, Tobak Zalán, Kovács Ferenc, Sipos György   +3 more
doaj   +1 more source

Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series

GIScience & Remote Sensing, 2020
Globally, drought constitutes a serious threat to food and water security. The complexity and multivariate nature of drought challenges its assessment, especially at local scales.
Gohar Ghazaryan, Olena Dubovyk, Valerie Graw, Nataliia Kussul, Jürgen Schellberg   +4 more
doaj   +1 more source